gender-bias | Reading for gender bias | Natural Language Processing library

by gender-bias Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | gender-bias Summary

gender-bias is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. gender-bias has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However gender-bias has 5 bugs. You can download it from GitHub.

Reading for gender bias

Support

Quality

Security

License

Reuse

Support

gender-bias has a low active ecosystem.

It has 70 star(s) with 25 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 21 open issues and 11 have been closed. On average issues are closed in 139 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gender-bias is current.

Quality

gender-bias has 5 bugs (0 blocker, 0 critical, 4 major, 1 minor) and 15 code smells.

Security

gender-bias has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

gender-bias code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

gender-bias is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

gender-bias releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

It has 915 lines of code, 84 functions and 23 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed gender-bias and discovered the below as its top functions. This is intended to give you an instant insight into gender-bias implemented functionality, and help decide if they suit your requirements.

Generate a report for a given document
Add a flag
Set the summary
The list of words in the document
Text
Return a list of tuples of word indices
Run server
Runs the build
Check route check
Return a dict representation of the issue
Pretty print the flag
Pretty format text
Return a list of detectors
Return a report with personal life
Return a report of conditional superlatives
Creates a report containing the male words
Creates a report containing the female words in the document
Calculates the percentage of personal life terms
Returns a report containing the uncommented Words

Get all kandi verified functions for this library.

gender-bias Key Features

No Key Features are available at this moment for gender-bias.

gender-bias Examples and Code Snippets

No Code Snippets are available at this moment for gender-bias.

Community Discussions

Trending Discussions on gender-bias

How to measure using word vectors

Jolt grouping together

QUESTION

How to measure using word vectors

Asked 2019-Jun-15 at 16:08

I'm attempting to understand how bias can be measured using word embeddings. Reading the article https://towardsdatascience.com/gender-bias-word-embeddings-76d9806a0e17

What is the bias being identified in the above statement ? Is the bias here that a woman cannot be seen as a doctor when a man is involved ?

Is a neutral bias for a either a man or woman being identified is where there is a small difference between woman,doctor man,doctor , represented a vector : $woman + doctor \approx man + doctor$ ?

...

ANSWER

Answered 2019-Jun-15 at 16:08

You would expect that

Source https://stackoverflow.com/questions/56611841

QUESTION

Jolt grouping together

Asked 2017-Jun-23 at 04:37

I have this input in JSON, I am having difficulty grouping things together:

...

ANSWER

Answered 2017-Jun-23 at 04:37

This is pretty much as close as OOTB Jolt can get. Note Jolt is for changing the structure of your data, not doing custom data mappings of things like "PHONE_TYPE": "04" means "Fax".

Transformed Output

Source https://stackoverflow.com/questions/44674781

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install gender-bias

Currently, the most reliable way to download and start using this code is to clone it from this repository and install it using pip:. NOTE: The last line in the above snippet installs this library in "editable" mode, which is probably fine while the library is in a state of flux. This installation process will add a new command-line tool to your PATH, called genderbias. To install the dependencies, run: pip3 install -r requirements.txt.

Support

If you want to report a problem or suggest an improvement, please open an issue at this github repository. You can also reach Mollie by email (mollie@biascorrect.com) or on twitter.

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